diff --git a/docker-compose.yml b/docker-compose.yml
index 80e194ab2..445fbaea0 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -15,10 +15,10 @@ services:
     volumes:
       - "./user_data:/freqtrade/user_data"
     # Expose api on port 8080 (localhost only)
-    # Please read the https://www.freqtrade.io/en/latest/rest-api/ documentation
+    # Please read the https://www.freqtrade.io/en/stable/rest-api/ documentation
     # before enabling this.
-    # ports:
-    #   - "127.0.0.1:8080:8080"
+    ports:
+      - "127.0.0.1:8080:8080"
     # Default command used when running `docker compose up`
     command: >
       trade
diff --git a/docs/docker_quickstart.md b/docs/docker_quickstart.md
index 27a9091b1..d5bec54c9 100644
--- a/docs/docker_quickstart.md
+++ b/docs/docker_quickstart.md
@@ -148,27 +148,9 @@ You'll then also need to modify the `docker-compose.yml` file and uncomment the
       dockerfile: "./Dockerfile.<yourextension>"
 ```
 
-You can then run `docker-compose build` to build the docker image, and run it using the commands described above.
+You can then run `docker-compose build --pull` to build the docker image, and run it using the commands described above.
 
-### Troubleshooting
-
-#### Docker on Windows
-
-* Error: `"Timestamp for this request is outside of the recvWindow."`
-  * The market api requests require a synchronized clock but the time in the docker container shifts a bit over time into the past.
-    To fix this issue temporarily you need to run `wsl --shutdown` and restart docker again (a popup on windows 10 will ask you to do so).
-    A permanent solution is either to host the docker container on a linux host or restart the wsl from time to time with the scheduler.
-    ```
-    taskkill /IM "Docker Desktop.exe" /F
-    wsl --shutdown
-    start "" "C:\Program Files\Docker\Docker\Docker Desktop.exe"
-    ```
-
-!!! Warning
-    Due to the above, we do not recommend the usage of docker on windows for production setups, but only for experimentation, datadownload and backtesting.
-    Best use a linux-VPS for running freqtrade reliably.
-
-## Plotting with docker-compose
+### Plotting with docker-compose
 
 Commands `freqtrade plot-profit` and `freqtrade plot-dataframe` ([Documentation](plotting.md)) are available by changing the image to `*_plot` in your docker-compose.yml file.
 You can then use these commands as follows:
@@ -179,7 +161,7 @@ docker-compose run --rm freqtrade plot-dataframe --strategy AwesomeStrategy -p B
 
 The output will be stored in the `user_data/plot` directory, and can be opened with any modern browser.
 
-## Data analysis using docker compose
+### Data analysis using docker compose
 
 Freqtrade provides a docker-compose file which starts up a jupyter lab server.
 You can run this server using the following command:
@@ -196,3 +178,22 @@ Since part of this image is built on your machine, it is recommended to rebuild
 ``` bash
 docker-compose -f docker/docker-compose-jupyter.yml build --no-cache
 ```
+
+## Troubleshooting
+
+### Docker on Windows
+
+* Error: `"Timestamp for this request is outside of the recvWindow."`
+  * The market api requests require a synchronized clock but the time in the docker container shifts a bit over time into the past.
+    To fix this issue temporarily you need to run `wsl --shutdown` and restart docker again (a popup on windows 10 will ask you to do so).
+    A permanent solution is either to host the docker container on a linux host or restart the wsl from time to time with the scheduler.
+
+    ``` bash
+    taskkill /IM "Docker Desktop.exe" /F
+    wsl --shutdown
+    start "" "C:\Program Files\Docker\Docker\Docker Desktop.exe"
+    ```
+
+!!! Warning
+    Due to the above, we do not recommend the usage of docker on windows for production setups, but only for experimentation, datadownload and backtesting.
+    Best use a linux-VPS for running freqtrade reliably.
diff --git a/docs/rest-api.md b/docs/rest-api.md
index b9b2b29be..b4992e047 100644
--- a/docs/rest-api.md
+++ b/docs/rest-api.md
@@ -78,7 +78,7 @@ If you run your bot using docker, you'll need to have the bot listen to incoming
     },
 ```
 
-Uncomment the following from your docker-compose file:
+Make sure that the following 2 lines are available in your docker-compose file:
 
 ```yml
     ports: